학술논문
Accelerating Image-Sensor-Based Deep Learning Applications
Document Type
Periodical
Author
Source
IEEE Micro Micro, IEEE. 39(5):26-35 Jan, 2019
Subject
Language
ISSN
0272-1732
1937-4143
1937-4143
Abstract
We review two inference accelerators that exploit value properties in deep neural networks: 1) Diffy that targets spatially correlated activations in computational imaging DNNs, and 2) Tactical that targets sparse neural networks using a low-overhead hardware/software weight-skipping front-end. Then we combine both into Di-Tactical to boost benefits for both scene understanding workloads and computational imaging tasks.